A review on automatic facial expression recognition systems assisted by multimodal sensor data
Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …
as mental diseases diagnosis and human social/physiological interaction detection. With the …
[PDF][PDF] Automobile driver posture monitoring systems: A review
With the development of autonomous vehicles, drivers will adopt new postures, which
should be considered for optimizing the future passive safety systems. On the other hand …
should be considered for optimizing the future passive safety systems. On the other hand …
Passenger head kinematics in abrupt braking and lane change events
Objective: A test track study was conducted to quantify patterns of adult front seat passenger
head motion during abrupt vehicle maneuvers. Method: Eighty-seven men and women with …
head motion during abrupt vehicle maneuvers. Method: Eighty-seven men and women with …
Occupant dynamics during crash avoidance maneuvers
A 12-participant test-track study in a sedan, a minivan, and a pickup assessed head
excursions across vehicles using two abrupt braking events, two lane changes, and turn-and …
excursions across vehicles using two abrupt braking events, two lane changes, and turn-and …
Development of a vehicle-based experimental platform for quantifying passenger motion sickness during test track operations
Motion sickness in road vehicles may become an increasingly important problem as
automation transforms drivers into passengers. Motion sickness could be mitigated through …
automation transforms drivers into passengers. Motion sickness could be mitigated through …
Comparison across vehicles of passenger head kinematics in abrupt vehicle maneuvers
Objective: Studies of vehicle occupant motions in response to abrupt vehicle maneuvers
have demonstrated movements that may result in changes in the level of protection for the …
have demonstrated movements that may result in changes in the level of protection for the …
A Sparse Spatiotemporal Transformer for Detecting Driver Distracted Behaviors
P Wang, Z Yin, L Nie, X Zhai - 2023 - sae.org
At present, the development of autonomous driving technology is still immature, and there is
still a long way until fully driverless vehicles. Therefore, the state of the driver is still an …
still a long way until fully driverless vehicles. Therefore, the state of the driver is still an …
Recognition and prediction of driver's whole body posture model
J Wu, J Liu, X Li, L Yan, L Cao… - Proceedings of the …, 2022 - journals.sagepub.com
The driver's whole-body posture at the time of a collision is a key factor in determining the
magnitude of injury to the driver. However, current researchs on driver posture models only …
magnitude of injury to the driver. However, current researchs on driver posture models only …
Driver distraction detection with a two-stream convolutional neural network
Y Ma, Z Yin, L Nie - 2020 - sae.org
Driver distraction detection is crucial to driving safety when autonomous vehicles are co-
piloted. Recognizing drivers' behaviors that are highly related with distraction from real-time …
piloted. Recognizing drivers' behaviors that are highly related with distraction from real-time …
Post-drive standing balance of vehicle passengers using wearable sensors: the effect of on-road driving and task performance
Postural sway has been demonstrated to increase following exposure to different types of
motion. However, limited prior studies have investigated the relationship between exposure …
motion. However, limited prior studies have investigated the relationship between exposure …